{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [ Chapter 5 - Knowledge Graph Learning ]\n",
    "# Automatic Extraction of Knowledge Graphs from Content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/thinc/compat.py:36: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n",
      "  hasattr(torch, \"has_mps\")\n",
      "/opt/conda/lib/python3.10/site-packages/thinc/compat.py:37: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n",
      "  and torch.has_mps  # type: ignore[attr-defined]\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "\n",
    "import pandas\n",
    "import spacy\n",
    "\n",
    "from aips import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!virtualenv .venv\n",
    "#!source .venv/bin/activate\n",
    "#!pip install wasabi==0.9.1\n",
    "#!pip install https://github.com/explosion/spacy-experimental/releases/download/v0.6.1/en_coreference_web_trf-3.4.0a2-py3-none-any.whl\n",
    "#import spacy_experimental\n",
    "\n",
    "def resolve_coreferences(text, coref_model):\n",
    "    doc = coref_model(text)\n",
    "    token_mention_mapper = {}\n",
    "    output_string = \"\"\n",
    "    clusters = [val for key, val in doc.spans.items()\n",
    "                if key.startswith(\"coref_cluster\")]\n",
    "\n",
    "    for cluster in clusters:\n",
    "        first_mention = cluster[0]\n",
    "        for mention_span in list(cluster)[1:]:\n",
    "            token_mention_mapper[mention_span[0].idx] = first_mention.text + mention_span[0].whitespace_\n",
    "            for token in mention_span[1:]:\n",
    "                token_mention_mapper[token.idx] = \"\"\n",
    "\n",
    "    for token in doc:\n",
    "        if token.idx in token_mention_mapper:\n",
    "            output_string += token_mention_mapper[token.idx]\n",
    "        else:\n",
    "            output_string += token.text + token.whitespace_\n",
    "\n",
    "    return output_string\n",
    "\n",
    "def get_sentences(text, lang_model):\n",
    "    doc = lang_model(text)\n",
    "    return [lang_model(s.text.strip()) for s in doc.sents if s.text.strip()]\n",
    "\n",
    "def resolve_facts(sentences, lang_model):\n",
    "    facts = list()\n",
    "    for sentence in sentences:\n",
    "        entities = get_candidate_entities(sentence)\n",
    "        retokenize_with_entities(sentence, entities)\n",
    "        print(f\"sentence: {sentence}\")\n",
    "\n",
    "        syntactic_dependency = [token.dep_ for token in sentence]\n",
    "        print(f\"syntactic_dependency_parse: {syntactic_dependency}\")\n",
    "        \n",
    "        for token in sentence:\n",
    "            facts += find_facts_for_token(token, sentence, lang_model)\n",
    "    \n",
    "    return facts\n",
    "\n",
    "def find_facts_for_token(token, sentence, lang_model):\n",
    "    facts = list()\n",
    "    if token.dep_ in (\"obj\", \"dobj\", \"nsubjpass\"):  #object dep labels                  \n",
    "        subject = [w for w in token.head.lefts if w.dep_\n",
    "                       in (\"subj\", \"nsubj\", \"pobj\")]  # subject for those objects\n",
    "\n",
    "        if subject:\n",
    "            subject = subject[0]\n",
    "            relation = [w for w in token.ancestors if w.dep_ == \"ROOT\"]\n",
    "                \n",
    "            if relation:\n",
    "                relation = relation[0]\n",
    "                if relation.nbor(1).pos_ in (\"ADP\", \"AUXPASS\",\"PART\"):  \n",
    "                    relation = \" \".join((str(relation),\n",
    "                            str(relation.nbor(1))))\n",
    "            else:\n",
    "                relation = \"unknown\"\n",
    "            subject, subject_type = clean_up_entity(subject, sentence, lang_model)\n",
    "            token, object_type = clean_up_entity(token, sentence, lang_model)\n",
    "            facts.append([str(subject), str(relation), str(token)])\n",
    "            print(\"---------------------\")\n",
    "            \n",
    "    return facts\n",
    "\n",
    "def get_candidate_entities(sentence):\n",
    "    entities = list(sentence.ents)\n",
    "    nouns = list(sentence.noun_chunks)\n",
    "    deduped_candidate_entities = spacy.util.filter_spans(entities + nouns)\n",
    "    return deduped_candidate_entities\n",
    "\n",
    "def retokenize_with_entities(sentence, spans):\n",
    "    with sentence.retokenize() as retokenizer:\n",
    "        [retokenizer.merge(span) for span in spans]\n",
    "\n",
    "def clean_up_entity(entity, sentence, lang_model):\n",
    "    entity_type = entity.ent_type_\n",
    "    if entity_type == \"\":\n",
    "        entity_type = \"NOUN_PHRASE\"\n",
    "        entity = \" \".join(str(token.text) for token in\n",
    "            lang_model(str(entity)) if not token.is_stop and token.pos_\n",
    "            not in  ( \"DET\", \"PART\",  \"PRON\", \"PUNCT\", \"SCONJ\", \"SYM\", \"X\"))\n",
    "    elif entity_type in (\"CARDINAL\", \"NOMINAL\", \"ORDINAL\") and not \" \" in str(entity):\n",
    "        token = \"\"\n",
    "        for i in range(len(sentence) - entity.i):\n",
    "            if entity.nbor(i).pos_ not in (\"PUNCT\", \"VERB\"):\n",
    "                token += \" \" + str(entity.nbor(i))\n",
    "            else:\n",
    "                entity = token.strip()\n",
    "                break\n",
    "                \n",
    "    return entity, entity_type"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Listing 5.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Currently broken until isolated dependency space (virtual environment) can be made.\n",
    "#Output in following markdown is current result.\n",
    "def generate_stub_graph():\n",
    "    return [['Data Scientists', 'build', 'machine learning models'],\n",
    "            ['Data Scientists', 'write', 'code'],\n",
    "            ['Companies', 'employ', 'Data Scientists'],\n",
    "            ['Software Engineers', 'write', 'code'],\n",
    "            ['Companies', 'employ', 'Software Engineers']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Data Scientists', 'build', 'machine learning models'],\n",
       " ['Data Scientists', 'write', 'code'],\n",
       " ['Companies', 'employ', 'Data Scientists'],\n",
       " ['Software Engineers', 'write', 'code'],\n",
       " ['Companies', 'employ', 'Software Engineers']]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def extract_relationships(text, lang_model, coref_model):\n",
    "    resolved_text = resolve_coreferences(text, coref_model) # \"they\" => \"Data Scientists\"\n",
    "    sentences = get_sentences(resolved_text, lang_model) # Data Scientists also write code. => ['nsubj, 'advmod', ROOT', 'dobj', 'punct']\n",
    "    return resolve_facts(sentences, lang_model) # subj:(Companies), rel:(employ), obj:(Data Scientists)\n",
    "\n",
    "text = \"\"\"\n",
    "Data Scientists build machine learning models. They also write code.\n",
    "Companies employ Data Scientists. \n",
    "Software Engineers also write code. Companies employ Software Engineers.\n",
    "\"\"\"\n",
    "lang_model = spacy.load(\"en_core_web_sm\")\n",
    "#coref_model = spacy.load(\"en_coreference_web_trf\")\n",
    "#graph = extract_relationships(text, lang_model, coref_model)\n",
    "graph = generate_stub_graph()\n",
    "display(graph)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```a\n",
    "sentence: Data Scientists build machine learning models.\n",
    "syntactic_dependency_parse: ['nsubj', 'ROOT', 'dobj', 'punct']\n",
    "---------------------\n",
    "sentence: Data Scientists also write code.\n",
    "syntactic_dependency_parse: ['nsubj', 'advmod', 'ROOT', 'dobj', 'punct']\n",
    "---------------------\n",
    "sentence: Companies employ Data Scientists .\n",
    "syntactic_dependency_parse: ['nsubj', 'ROOT', 'dobj', 'punct']\n",
    "---------------------\n",
    "sentence: Software Engineers also write code.\n",
    "syntactic_dependency_parse: ['nsubj', 'advmod', 'ROOT', 'dobj', 'punct']\n",
    "---------------------\n",
    "sentence: Companies employ Software Engineers .\n",
    "syntactic_dependency_parse: ['nsubj', 'ROOT', 'dobj', 'punct']\n",
    "---------------------\n",
    "[['Data Scientists', 'build', 'machine learning models'],\n",
    " ['Data Scientists', 'write', 'code'],\n",
    " ['Companies', 'employ', 'Data Scientists'],\n",
    " ['Software Engineers', 'write', 'code'],\n",
    " ['Companies', 'employ', 'Software Engineers']]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "\n",
    "\n",
    "def draw_knowledge_graph(pairs,node_size,seed=2):\n",
    "    def word_wrap(string): return string.replace(\" \", \"\\n\")\n",
    "    pairs[\"subject\"] = pairs.apply(lambda row: word_wrap(row[\"subject\"]), axis=1)\n",
    "    pairs[\"object\"] = pairs.apply(lambda row: word_wrap(row[\"object\"]), axis=1)\n",
    "\n",
    "    knowledge_graph = nx.from_pandas_edgelist(pairs, \"subject\", \"object\",\n",
    "            create_using=nx.MultiDiGraph())\n",
    "    node_deg = nx.degree(knowledge_graph)\n",
    "    \n",
    "    #layout = nx.spectral_layout(knowledge_graph, weight=\"none\")\n",
    "    layout = nx.spring_layout(knowledge_graph, k=11, iterations=1200, seed=seed)\n",
    "    plt.figure(num=None, figsize=(30, 30), dpi=80)\n",
    "    nx.draw_networkx(\n",
    "        knowledge_graph,\n",
    "        node_size=1000*node_size,\n",
    "        linewidths=5,\n",
    "        font_size=18,\n",
    "        pos=layout,\n",
    "        width=2.0,\n",
    "        arrowsize=20,\n",
    "        edge_color=\"black\",\n",
    "        edgecolors=\"black\",\n",
    "        node_color=\"white\",\n",
    "        margins=.09)\n",
    "    \n",
    "    def word_wrap(input): return input.replace(\" \", \"\\n\") \n",
    "    \n",
    "    labels = dict(zip(list(zip(pairs.subject, pairs.object)),\n",
    "                  pairs[\"relation\"].tolist()))\n",
    "    nx.draw_networkx_edges(knowledge_graph, pos=layout, node_size=10)\n",
    "    nx.draw_networkx_edge_labels(knowledge_graph, pos=layout, edge_labels=labels,\n",
    "                                 font_color=\"blue\", font_size=18)\n",
    "    plt.axis(\"on\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 2400x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pairs = pandas.DataFrame(graph, columns=[\"subject\", \"relation\", \"object\"])\n",
    "draw_knowledge_graph(pairs, 40)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hearst Patterns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Listing 5.2\n",
    "Portions of Listing 5.2 incorporated under the following ASL 2.0 License Notice: [hearst.NOTICE.txt](licenses/hearst.NOTICE.txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "simple_hearst_patterns = [\n",
    "\t(\"(NP_\\\\w+ (, )?such as (NP_\\\\w+ ?(, )?(and |or )?)+)\", \"first\"),\n",
    "\t(\"(such NP_\\\\w+ (, )?as (NP_\\\\w+ ?(, )?(and |or )?)+)\", \"first\"),\n",
    "\t(\"((NP_\\\\w+ ?(, )?)+(and |or )?other NP_\\\\w+)\", \"last\"),\n",
    "\t(\"(NP_\\\\w+ (, )?include (NP_\\\\w+ ?(, )?(and |or )?)+)\", \"first\"),\n",
    "\t(\"(NP_\\\\w+ (, )?especially (NP_\\\\w+ ?(, )?(and |or )?)+)\", \"first\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "extended_hearst_patterns = [\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?any other NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?some other NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?be a NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?like (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        'such (NP_\\\\w+ (, )?as (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?like other NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?one of the NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?one of these NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?one of those NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        'example of (NP_\\\\w+ (, )?be (NP_\\\\w+ ? '\n",
    "        '(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?be example of NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?for example (, )?'\n",
    "        '(NP_\\\\w+ ?(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?which be call NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?which be name NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?mainly (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?mostly (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?notably (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?particularly (NP_\\\\w+ ? '\n",
    "        '(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?principally (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?in particular (NP_\\\\w+ ? '\n",
    "        '(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?except (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?other than (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?e.g. (, )?(NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ \\\\( (e.g.|i.e.) (, )?(NP_\\\\w+ ? (, )?(and |or )?)+'\n",
    "        '(\\\\. )?\\\\))',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?i.e. (, )?(NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and|or)? a kind of NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and|or)? kind of NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and|or)? form of NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?which look like NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?which sound like NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?which be similar to (NP_\\\\w+ ? '\n",
    "        '(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?example of this be (NP_\\\\w+ ? '\n",
    "        '(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?type (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )? NP_\\\\w+ type)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?whether (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(compare (NP_\\\\w+ ?(, )?)+(and |or )?with NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?compare to (NP_\\\\w+ ? (, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?among -PRON- (NP_\\\\w+ ? '\n",
    "        '(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and |or )?as NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )? (NP_\\\\w+ ? (, )?(and |or )?)+ '\n",
    "        'for instance)',\n",
    "        'first'\n",
    "    ),\n",
    "    (\n",
    "        '((NP_\\\\w+ ?(, )?)+(and|or)? sort of NP_\\\\w+)',\n",
    "        'last'\n",
    "    ),\n",
    "    (\n",
    "        '(NP_\\\\w+ (, )?which may include (NP_\\\\w+ '\n",
    "        '?(, )?(and |or )?)+)',\n",
    "        'first'\n",
    "    )\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class HearstPatterns(object):\n",
    "\n",
    "    def __init__(self, extended=True):\n",
    "\n",
    "        self.__adj_stopwords = [\n",
    "            \"able\", \"available\", \"brief\", \"certain\",\n",
    "            \"different\", \"due\", \"enough\", \"especially\", \"few\", \"fifth\",\n",
    "            \"former\", \"his\", \"howbeit\", \"immediate\", \"important\", \"inc\",\n",
    "            \"its\", \"last\", \"latter\", \"least\", \"less\", \"likely\", \"little\",\n",
    "            \"many\", \"ml\", \"more\", \"most\", \"much\", \"my\", \"necessary\",\n",
    "            \"new\", \"next\", \"non\", \"old\", \"other\", \"our\", \"ours\", \"own\",\n",
    "            \"particular\", \"past\", \"possible\", \"present\", \"proud\", \"recent\",\n",
    "            \"same\", \"several\", \"significant\", \"similar\", \"such\", \"sup\", \"sure\"\n",
    "        ]\n",
    "\n",
    "        # now define the Hearst patterns\n",
    "        # format is <hearst-pattern>, <general-term>\n",
    "        # so, what this means is that if you apply the first pattern,\n",
    "        # the first Noun Phrase (NP)\n",
    "        # is the general one, and the rest are specific NPs\n",
    "        self.__hearst_patterns = simple_hearst_patterns\n",
    "\n",
    "        if extended:\n",
    "            self.__hearst_patterns.extend(extended_hearst_patterns)\n",
    "\n",
    "        self.__spacy_nlp = lang_model\n",
    "\n",
    "    def chunk(self, rawtext):\n",
    "        doc = self.__spacy_nlp(rawtext)\n",
    "        chunks = []\n",
    "        for sentence in doc.sents:\n",
    "            sentence_text = sentence.lemma_\n",
    "            for chunk in sentence.noun_chunks:\n",
    "                if chunk.lemma_.lower() == \"example\":\n",
    "                    start = chunk.start\n",
    "                    pre_token = sentence[start - 1].lemma_.lower()\n",
    "                    post_token = sentence[start + 1].lemma_.lower()\n",
    "                    if start > 0 and \\\n",
    "                            (pre_token == \"for\" or post_token == \"of\"):\n",
    "                        continue\n",
    "                if chunk.lemma_.lower() == \"type\":\n",
    "                    continue\n",
    "                chunk_arr = []\n",
    "                replace_arr = []\n",
    "                #print(\"chunk:\", chunk)\n",
    "                for token in chunk:\n",
    "                    if token.lemma_ in self.__adj_stopwords + [\"i.e.\", \"e.g.\"]:\n",
    "                        continue\n",
    "                    chunk_arr.append(token.lemma_)\n",
    "                    # Remove punctuation and stopword adjectives\n",
    "                    # (generally quantifiers of plurals)\n",
    "                    if token.lemma_.isalnum():\n",
    "                        replace_arr.append(token.lemma_)\n",
    "                    else:\n",
    "                        replace_arr.append(\"\".join(\n",
    "                            char for char in token.lemma_ if char.isalnum()\n",
    "                        ))\n",
    "                if len(chunk_arr) == 0:\n",
    "                    chunk_arr.append(chunk[-1].lemma_)\n",
    "                chunk_lemma = \" \".join(chunk_arr)\n",
    "                replacement_value = \"NP_\" + \"_\".join(replace_arr)\n",
    "                if chunk_lemma:\n",
    "                    sentence_text = re.sub(r\"\\b%s\\b\" % re.escape(chunk_lemma),\n",
    "                                           r\"%s\" % replacement_value,\n",
    "                                           sentence_text)\n",
    "            chunks.append(sentence_text)\n",
    "        return chunks\n",
    "\n",
    "    \"\"\"\n",
    "        This is the main entry point for this code.\n",
    "        It takes as input the rawtext to process and returns a list\n",
    "        of tuples (specific-term, general-term)\n",
    "        where each tuple represents a hypernym pair.\n",
    "    \"\"\"\n",
    "    def find_hyponyms(self, rawtext):\n",
    "\n",
    "        hyponyms = []\n",
    "        np_tagged_sentences = self.chunk(rawtext)\n",
    "\n",
    "        for sentence in np_tagged_sentences:\n",
    "            # two or more NPs next to each other should be merged\n",
    "            # into a single NP, it's a chunk error\n",
    "\n",
    "            for (hearst_pattern, parser) in self.__hearst_patterns:\n",
    "                matches = re.search(hearst_pattern, sentence)\n",
    "                if matches:\n",
    "                    match_str = matches.group(0)\n",
    "\n",
    "                    nps = [a for a in match_str.split() if a.startswith(\"NP_\")]\n",
    "\n",
    "                    if parser == \"first\":\n",
    "                        general = nps[0]\n",
    "                        specifics = nps[1:]\n",
    "                    else:\n",
    "                        general = nps[-1]\n",
    "                        specifics = nps[:-1]\n",
    "\n",
    "                    for i in range(len(specifics)):\n",
    "                        pair = (\n",
    "                            self.clean_hyponym_term(specifics[i]),\n",
    "                            self.clean_hyponym_term(general)\n",
    "                        )\n",
    "                        # reduce duplicates\n",
    "                        if pair not in hyponyms:\n",
    "                            hyponyms.append(pair)\n",
    "\n",
    "        return hyponyms\n",
    "\n",
    "    def clean_hyponym_term(self, term):\n",
    "        # good point to do the stemming or lemmatization\n",
    "        return term.replace(\"NP_\", \"\").replace(\"_\", \" \").replace(\",\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('machine learning', 'skill'), ('python', 'skill'), ('deep learning', 'skill'), ('apache spark', 'skill')] \n",
      " [('commute time', 'job benefit'), ('company culture', 'job benefit'), ('salary', 'job benefit')] \n",
      " [('Google', 'tech company'), ('Apple', 'tech company')] \n",
      " [('San Francisco', 'big city'), ('Miami', 'big city'), ('New York', 'big city')] \n",
      " [('Software Engineer', 'Job role'), ('Registered Nurse', 'Job role'), ('DevOps Engineer', 'Job role')] \n",
      " [('health insurance', 'job benefit'), ('pto', 'job benefit')]\n"
     ]
    }
   ],
   "source": [
    "h = HearstPatterns()\n",
    "hyps1 = h.find_hyponyms(\"Many data scientists have skills such as machine learning, python, deep learning, apache spark, among  others.\")\n",
    "hyps2 = h.find_hyponyms(\"Job candidates most prefer job benefits such as commute time, company culture, and salary.\")\n",
    "hyps3 = h.find_hyponyms(\"Google, Apple, or other tech companies might sponsor the conference.\")\n",
    "hyps4 = h.find_hyponyms(\"Big cities such as San Francisco, Miami, and New York often appeal to new graduates. \")\n",
    "hyps5 = h.find_hyponyms(\"Job roles such as Software Engineer, Registered Nurse, and DevOps Engineer are in high demand. \")\n",
    "hyps6 = h.find_hyponyms(\"There are job benefits including health insurance and pto. \")\n",
    "print(hyps1,'\\n', hyps2,'\\n', hyps3,'\\n', hyps4,'\\n', hyps5,'\\n', hyps6)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Listing 5.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['machine learning', 'is_a', 'skill']\n",
      "['python', 'is_a', 'skill']\n",
      "['deep learning', 'is_a', 'skill']\n",
      "['apache spark', 'is_a', 'skill']\n",
      "['commute time', 'is_a', 'job benefit']\n",
      "['company culture', 'is_a', 'job benefit']\n",
      "['salary', 'is_a', 'job benefit']\n",
      "['Google', 'is_a', 'tech company']\n",
      "['Apple', 'is_a', 'tech company']\n",
      "['San Francisco', 'is_a', 'big city']\n",
      "['Miami', 'is_a', 'big city']\n",
      "['New York', 'is_a', 'big city']\n",
      "['Software Engineer', 'is_a', 'Job role']\n",
      "['Registered Nurse', 'is_a', 'Job role']\n",
      "['DevOps Engineer', 'is_a', 'Job role']\n",
      "['health insurance', 'is_a', 'job benefit']\n",
      "['pto', 'is_a', 'job benefit']\n"
     ]
    }
   ],
   "source": [
    "text_content = \"\"\"\n",
    "Many data scientists have skills such as machine learning, python, deep learning, apache spark, among  others. \n",
    "Job candidates most prefer job benefits such as commute time, company culture, and salary. \n",
    "Google, Apple, or other tech companies might sponsor the conference. \n",
    "Big cities such as San Francisco, Miami, and New York often appeal to new graduates. \n",
    "Job roles such as Software Engineer, Registered Nurse, and DevOps Engineer are in high demand. \n",
    "There are job benefits including health insurance and pto. \n",
    "\"\"\"\n",
    "\n",
    "extracted_relationships = HearstPatterns().find_hyponyms(text_content)\n",
    "facts = [[pair[0], \"is_a\", pair[1]] for pair in extracted_relationships]\n",
    "print(*facts, sep=\"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2400x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pairs = pandas.DataFrame(facts, columns=[\"subject\", \"relation\", \"object\"])\n",
    "draw_knowledge_graph(pairs, 10, seed=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Success!\n",
    "\n",
    "You've successfully extracted knowledge graphs both with arbitrary relationships within text and from more well-defined hypernym relationships. In the next section, we'll index some large text datasets that we can use to as the basis for a more dynamic kind of knowledge graph - a Semantic Knowlege Graph.\n",
    "\n",
    "\n",
    "Up Next: [Setting up the Knowledge Graph Datasets](2.index-datasets.ipynb)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
